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Machine Learning By Design


Machine Learning By Design
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Download Machine Learning By Design PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning By Design book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page



Machine Learning Design Patterns


Machine Learning Design Patterns
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Author : Valliappa Lakshmanan
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-10-15

Machine Learning Design Patterns written by Valliappa Lakshmanan and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-15 with Computers categories.


The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly



Machine Learning Of Design Concepts


Machine Learning Of Design Concepts
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Author : Heng Li
language : en
Publisher: Computational Mechanics
Release Date : 1994

Machine Learning Of Design Concepts written by Heng Li and has been published by Computational Mechanics this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.


Reviews the findings and trends of recent research on machine learning techniques and their applications in engineering design. Also presents a machine learning system that automatically generates design concepts from previous design examples. Includes abstracts of seven research papers. No index. Annotation copyright by Book News, Inc., Portland, OR



Tiny Machine Learning Design Principles And Applications


Tiny Machine Learning Design Principles And Applications
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Author : Agbotiname Lucky Imoize
language : en
Publisher: John Wiley & Sons
Release Date : 2026-01-05

Tiny Machine Learning Design Principles And Applications written by Agbotiname Lucky Imoize and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-05 with Computers categories.


An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and development In Tiny Machine Learning: Design Principles and Applications, a team of distinguished researchers delivers a comprehensive discussion of the critical concepts, design principles, applications, and relevant issues in Tiny Machine Learning (TinyML). Expert contributors introduce a new low power resource, offering vast applications in IoT devices with system-algorithm co-design. Tiny Machine Learning explores TinyML paradigms and enablers, TinyML for anomaly detection, and the learning panorama under TinyML. Readers will find explanations of TinyML devices and tools, power consumption and memory in IoT microcontrollers, and lightweight frameworks for TinyML. The book also describes TinyML techniques for real-time and environmental applications. Additional topics covered in the book include: A thorough introduction to security and privacy techniques for TinyML devices, including the implementation of novel security schemes Incisive explorations of power consumption and memory in IoT MCUs, including ultralow-power smart IoT devices with embedded TinyML Practical discussions of TinyML research targeting microcontrollers for data extraction and synthesis Perfect for industry and academic researchers, scientists, and engineers, Tiny Machine Learning will also benefit lecturers and graduate students interested in machine learning.



Machine Learning Techniques For Gait Biometric Recognition


Machine Learning Techniques For Gait Biometric Recognition
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Author : James Eric Mason
language : en
Publisher: Springer
Release Date : 2016-02-04

Machine Learning Techniques For Gait Biometric Recognition written by James Eric Mason and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-04 with Technology & Engineering categories.


This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF. This book · introduces novel machine-learning-based temporal normalization techniques · bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition · provides detailed discussions of key research challenges and open research issues in gait biometrics recognition · compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear



Development Of Knowledge Based Systems For Engineering


Development Of Knowledge Based Systems For Engineering
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Author : Carlo Tasso
language : en
Publisher: Springer
Release Date : 2014-05-04

Development Of Knowledge Based Systems For Engineering written by Carlo Tasso and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-04 with Science categories.


The goal of the volume is twofold: to help engineers to understand the design and development process and the specific techniques utilized for constructing expert systems in engineering and, secondly, to introduce computer specialists to significant applications of knowledge-based techniques in engineering. Among the authors are world famous experts of engineering and knowledge-based systems development.



Teaching And Learning Design


Teaching And Learning Design
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Author : Doctor Gjoko Muratovski
language : en
Publisher: Intellect Books
Release Date : 2019-05-15

Teaching And Learning Design written by Doctor Gjoko Muratovski and has been published by Intellect Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-15 with Design categories.


Just as the term design has been going through change, growth and expansion of meaning, and interpretation in practice and education – the same can be said for design research. The traditional boundaries of design are dissolving and connections are being established with other fields at an exponential rate. Based on the proceedings from the 2017 International Association of Societies of Design Research conference, Re:Research is an edited collection that showcases a curated selection of 83 papers – just over half of the works presented at the conference. With topics ranging from the introduction of design in the primary education sector to designing information for Artificial Intelligence systems, this book collection demonstrates the diverse perspectives of design and design research. Divided into seven thematic volumes, this collection maps out where the field of design research is now. Opening a Design Education Pipeline from University to K-12 and Back • Peter Scupelli, Doris Wells-Papanek, Judy Brooks, Arnold Wasserman To prepare students to imagine desirable futures amidst current planetary-level challenges, design educators must think and act in new ways. In this paper, we describe a pilot study that illustrates how educators might teach K-12 students and university design students to situate their making within transitional times in a volatile and exponentially changing world. We describe how to best situate students to align design thinking and learning with future foresight. Here we present a pilot test and evaluate how a university-level Design Futures course content, approach, and scaffolded instructional materials – can be adapted for use in K-12 Design Learning Challenges. We describe the K-12 design-based learning challenges/experiences developed and implemented by the Design Learning Network (DLN). The Design Futures course we describe in this paper is a required course for third-year undergraduate students in the School of Design at Carnegie Mellon University. The “x” signifies a different type of design that aligns short-term action with long-term goals. The course integrates design thinking and learning with long-horizon future scenario foresight. Broadly speaking, we ask how might portions of a design course be taught and experienced by teachers and students of two different demographics: within the university (Design Undergraduates) and in K-12 (via DLN). This pilot study is descriptive in nature; in future work, we seek to assess learning outcomes across university and K-12 courses. We believe the approach described is relevant for lifelong learners (e.g., post-graduate-level, career development, transitional adult education). Re-Clarifying Design Problems Through Questions for Secondary School Children: An Example Based on Design Problem Identification in Singapore Pre-Tertiary Design Education • Wei Leong, Leon Loh, Hwee Mui, Grace Kwek, Wei Leong Lee It is believed that secondary school students often define design problems in the design coursework superficially due to various reasons such as lack of exposure, inexperience and the lack of research skills. Questioning techniques have long been associated with the development of critical thinking. Based on this context and assumption, the current study aimed to explore the use of questioning techniques to enable pre-tertiary students to improve their understanding of design problems by using questions to critique their thinking and decision-making processes and in turn, generate more effective design solutions. A qualitative approach is adopted in this study to identify the trajectories of students during design problem identification and clarification process. Using student design journals as a form of record for action and thoughts, they are analyzed and supplemented by hearing survey with the teacher-in-charge. From the study, the following points can be concluded: (1) questions can be a useful tool to facilitate a better understanding of the design problem. (2) The process of identification and clarification of design problem is important in the development of critical thinking skills and social-emotional skills of the students. (3) It is important that students are given time and opportunity to find out the problems by themselves. (4) Teachers can be important role models as students may pick up questioning techniques from teacher–student discussions. (5) Departmental reviews and built-in professional development time for weekly reviews on teaching and learning strategies are necessary for the continual improvement D&T education. Surveying Stakeholders: Research Informing Design Curriculum • Andrea Quam Fundamental to design education is the creation and structure of curriculum. Neither the creation of design curriculum, nor the revaluation of existing curriculum is well documented. With no clear documentation of precedent, best practices are left open to debate. This paper and presentation will discuss the use of a survey as a research tool to assess existing curriculum at Iowa State University in the United States. This tool allowed the needs and perspectives of the program’s diverse stakeholders to be better understood. Utilizing survey methods, research revealed the convergence and divergence of stakeholders’ philosophies, theories and needs in relation to design curriculum. Accreditation and professional licensing provide base level of guidelines for design curriculum in the United States. However, each program’s curricular structure beyond these guidelines is a complicated balance of resources, facilities, faculty and the type of institution in which it is housed. Once established, a program’s curriculum is rarely reassessed as a whole, but instead updated with the hasty addition of classes upon an existing curricular structure. Curriculum is infrequently re-addressed, and when it is, it is typically based on the experience and opinions of a select group of faculty. This paper presents how a survey was developed to collect data to inform curricular decision-making, enabling the reduction of faculty bias and speculation in the process. Lessons learned from the development of this research tool will be shared so it might be replicated at other institutions, and be efficiently repeated periodically to ensure currency of a program’s curriculum. New Challenges when Teaching UX Students to Sketch and Prototype • Joep Frens, Jodi Forlizzi, John Zimmerman In this paper we report on new challenges when teaching User Experience (UX) students how to sketch and prototype their designs. We argue that UX students sketch and prototype differently than other design students, and we discuss how changes in the field necessitate a response in education. We describe sketching and prototyping as a continuum that students successfully traverse when they follow a process of “double loop learning.” We highlight three new challenges: (1) New computational design materials, (2) new maker tools and (3) changes within the tech industry. We explore these three challenges through examples from our students, and we outline strategies for sketching and prototyping in this new reality. We conclude that this is a starting point for further work on keeping education up to speed with practice. How to Teach Industrial Design?: A Case Study of College Education for Design Beginners • Joomyung Rhi Industrial design education has existed for a long time as part of the university system, but the curriculum and contents of each subject vary considerably from school to school. In recent years, the introduction of new concepts that change the definition of design has blurred the boundaries of design, making the curriculum different. Establishing a standard curriculum to address these challenges is an important task, but it is necessary to fully understand how design education actually takes place and to share content with educators. This paper aims to contribute to the debate on industrial design education by fully disclosing the process and results of the first stage of industrial design education of a university by autobiographical method. The first course, Product Design Practice 1, is a studio class based on a task feedback iteration system. Students are required to submit assignments showing weekly progress. The instructor reviewed the assignments submitted before the class and gave written comments in class. In addition, details of the design process and method that are difficult to identify as novice students are learned through twelve case studies and applied to the project. This Task Feedback Repeating Class system gives students the opportunity to implement design ability while gaining detailed skills with a comprehensive view. Through this process, the researcher got a reflection on the class and implications for the improvement of the class. Preliminary Study on the Learning Pressure of Undergraduate Industrial Design Students - Wenzhi Chen Learning pressure affects students’ learning process and performance. Industrial design education emphasizes that operations on real design problems that have heavy working loads may cause learning pressure. The purpose of this study is to explore the issues causing learning pressure and the pressure management strategies of undergraduate industrial design students. There were 297 students who participated in the questionnaire survey. The main findings are as follows: First, learning pressure includes academic pressure, peer pressure, self-expectations, time pressure, financial pressure, pressure from instructors, external pressure, future career, pressure from parents, resource pressure, achievement and situational pressure. In addition, the main learning pressure is caused by finance, time, resources, external issues and future career. Second, the pressure management strategies include problem solving, procrastination and escape, help seeking, leisure, emotional management and self-adjustment. The most useful strategy for managing pressure is leisure, and procrastination and escape is the least useful strategy. Third, all learning pressures are significantly correlated with procrastination and escape strategy, but the coefficients are low. The results can be a reference for industrial design education and related research. Rewarding Risk: Exploring How to Encourage Learning that Comes from Taking Risks • Dennis Cheatham High-stakes testing that became the norm after the “No Child Left Behind Act” of 2001 helped condition students to strive for correct answers for clear problems, all on the first try. However, the iterative process inherent in designing requires risk-taking to conduct a trial-and-error process of defining problems and exploring possible solutions. This design research project was operated with Miami University Graphic Design students to test their willingness to take risks in their coursework to achieve their self-defined measures of success. Students identified that improving their skills was how they defined success. An interaction design assignment involving front-end coding was modified to test students’ comfort taking risks to grow their skills. Most students took risks in the assignment to grow their interaction design skills. The project revealed that closer attention to student motivation when developing learning experiences could help students make the transition to practicing design as an iterative process fraught with risk. An Analysis of the Educational Value of PBL Design Workshops • Ikjoon Chang, Suhong Hwang The purpose of this study is to plan and operate design-workshops based on project-based learning (PBL), and examine their educational value for students. The PBL workshop encourages direct participation from students and produces educational value, and it is important to raise the interest level of workshops to elicit proactive participation. The workshop in this study was carried out over 2 weeks in January 2017 at Korea’s Yonsei University. The workshop was composed of eight teams of students from three countries, including Korea, China and Japan, and the course was primarily divided into two sessions. The workshop participants examined in this thesis were notably satisfied with the elements of the course meant to garner interest. In the questionnaire results, participants also indicated that they obtained ample educational value through the workshop. An important element of the workshop was to connect the participants with businesses, which is also an important component of design education. Despite this, participants expressed a relatively lower level of satisfaction compared to other elements of the workshop. The results and analysis of this study will hopefully become a meaningful resource for educators when designing workshops in the future. Collaborative Design Education with Industry: Student Perspective by Reflection - Nathan Kotlarewski, Louise Wallis, Michael Lee, Gregory Nolan, Megan Last This study suggests that student reflection on academic and industry collaborative projects can enhance student’s understanding on the design process to solve live industry problems. It contributes to the body of design literature to support students learning of explicit and implicit knowledge. A 2017 learning by-making (LBM) unit in the School of Architecture and Design, at the University of Tasmania, Australia, developed a unit for students to collaborate with Neville Smith Forest Products Pty. Ltd (NSFP). NSFP is a local Tasmanian timber product manufacturer who currently stockpiles out-of-grade timber that has limited market applications. Undergraduate design students from second- and third-year Furniture, Interior and Architecture degrees collaborated with NSFP to value-add to their out-of-grade resource in the LBM unit. A series of design challenges, observations of industry practice and access to out-of-grade timber from NSFP exposed students to live industry problems and provided them the opportunity to build professional design skills. Students reflected on the collaborative LBM unit in a reflection journal, which was used to provide evidence of their learning experiences. The collaborative environment between academia and industry allowed students to acquire an understanding of timber product manufacturing that helped them develop empathy toward the industry problem and influence the development of new products. This study presents how student reflections influenced a change in their design process as they progressed through sequential design challenges to address an industry problem by adopting Valkenburg and Dorst reflective learning framework. Interdisciplinary Trends in Design Education: The Analysis of Master Dissertation of College of Design and Innovation, Tongji University • Lisha Ren, Yan Wang This paper expounds the background of Chinese design education as well as the orientation of the design education of Tongji University in the new times, it also collects 458 Master Thesis of College of Design and Innovation during 2010–2016 as analyzed sample. Based on the coding of subject classification, quantitative analysis and content analysis are made in order to understand the interdisciplinary education status of College of Design and Innovation from the two perspectives: the overall cross-disciplinary performance and the relationship between different cross-disciplinary directions. From ANT to Material Agency: A Design and Science Research Workshop • Anne-Lyse Renon, A. De Montbron, Annie Gentes, Julien Bobroff This paper studies a design workshop that investigates complex collaboration between fundamental physics and design. Our research focuses on how students create original artifacts that bridge the gap between disciplines that have very little in common. Our goal is to study the micro-evolutions of their projects. Elaborating first on Actor Network Theory we study how students’ projects evolved over time and through a diversity of inputs and media. Throughout this longitudinal study, we use then a semiotic and pragmatic approach to observe three “aesthetical formations”: translation, composition and stabilization. These formations suggest that the question of material agency developed in the field of archeology and cognitive science need to be considered in the design field to explain metamorphoses from the brief to the final realizations.



Human Machine Learning


Human Machine Learning
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Author : Corinne Schillizzi
language : en
Publisher: Corinne Schillizzi
Release Date : 2023-10-22

Human Machine Learning written by Corinne Schillizzi and has been published by Corinne Schillizzi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-22 with Technology & Engineering categories.


...This book explores AI ethics, surveys system thinking, and offers actionable tactics for aligning with engineering and product teams in the tech realm. Its engaging narrative provides a roadmap for iterative "designing in loops" product development in today’s AI-driven industry. — John Maeda, Author of How To Speak Machine Forget to design a solution once and for all - with Machine Learning, it simply doesn’t work! Since learning is inherently dynamic, designers must harness feedback loops to create solutions that adapt to changing environments and data. Discover how to work backward from humans, partner with ML field experts, build effective feedback loop mechanisms and design data-aware interactions. With Machine Learning, designers are crucial in keeping humans and society at the center. The book guides the reader in understanding the challenges and peculiarities of designing these systems. It provides methods and tools to apply a human-centered approach to problem-framing and solving. 'Human-Machine learning’ is a design paradigm that enables humans and machines to learn and adapt. Shifting our perspective from a growth to an adaptive mindset, the book presents the Human-Machine Learning paradigm as a way to tackle complex problems and drive positive change systemically. Six things you will find in this book: 1. The role of feedback in shaping human and machine learning 2. The role of designers in working backward from human needs in ML projects 3. How to design with and for data 4. How to design feedback loops at three levels of interactions: individual, organizational, and societal 5. A systemic perspective on designing with ML with a humanity-centered approach 6. How to design for Human-Machine Continual Learning



The Business Side Of Learning Design And Technologies


The Business Side Of Learning Design And Technologies
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Author : Shahron Williams van Rooij
language : en
Publisher: Taylor & Francis
Release Date : 2025-06-12

The Business Side Of Learning Design And Technologies written by Shahron Williams van Rooij and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Education categories.


The Business Side of Learning Design and Technologies provides actionable tools and techniques for recognizing the impact of learning design/technology decisions at the project, business unit, and organizational levels. With a focus on aligning learning initiatives with organizational objectives, the book equips early- and mid-career learning designers with essential skills in applying business strategy, artificial intelligence, data analytics, and change management to the selection, design, implementation, and evaluation of learning opportunities. This thoroughly revised second edition further emphasizes the designer as change agent, addresses the rise of remote and hybrid workplaces, adds fresh perspectives on automated and generative systems, and updates its resources, references, and interviews. Grounded in scholarly and practitioner research, systematic literature reviews, interviews with learning and development thought leaders, and real-world experience, this book provides actionable strategies for career advancement in a dynamic labor market.



Materials For Power Electronics Construction And Environmental Engineering


Materials For Power Electronics Construction And Environmental Engineering
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Author : Denis B. Solovev
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2023-05-18

Materials For Power Electronics Construction And Environmental Engineering written by Denis B. Solovev and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-18 with Technology & Engineering categories.


Special topic volume with invited peer-reviewed papers only



Artificial Intelligence In Education


Artificial Intelligence In Education
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Author : Seiji Isotani
language : en
Publisher: Springer
Release Date : 2019-06-20

Artificial Intelligence In Education written by Seiji Isotani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-20 with Computers categories.


This two-volume set LNCS 11625 and 11626 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, held in Chicago, IL, USA, in June 2019. The 45 full papers presented together with 41 short, 10 doctoral consortium, 6 industry, and 10 workshop papers were carefully reviewed and selected from 177 submissions. AIED 2019 solicits empirical and theoretical papers particularly in the following lines of research and application: Intelligent and interactive technologies in an educational context; Modelling and representation; Models of teaching and learning; Learning contexts and informal learning; Evaluation; Innovative applications; Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education.​